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» Word Sense Language Model for Information Retrieval
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CICLING
2006
Springer
14 years 5 days ago
Verb Sense Disambiguation Using Support Vector Machines: Impact of WordNet-Extracted Features
The disambiguation of verbs is usually considered to be more difficult with respect to other part-of-speech categories. This is due both to the high polysemy of verbs compared with...
Davide Buscaldi, Paolo Rosso, Ferran Pla, Encarna ...
EMNLP
2009
13 years 6 months ago
Using Word-Sense Disambiguation Methods to Classify Web Queries by Intent
Three methods are proposed to classify queries by intent (CQI), e.g., navigational, informational, commercial, etc. Following mixed-initiative dialog systems, search engines shoul...
Emily Pitler, Ken Ward Church
TREC
2000
13 years 9 months ago
English-Chinese Cross-Language IR Using Bilingual Dictionaries
This report describes the English-Chinese crosslanguage retrieval experiments at Berkeley for TREC-9 Cross-Language Information Retrieval track. We present a simple and effective ...
Aitao Chen, Hailing Jiang, Fredric C. Gey
CIARP
2004
Springer
14 years 1 months ago
Detecting Inflection Patterns in Natural Language by Minimization of Morphological Model
One of the most important steps in text processing and information retrieval is stemming—reducing of words to stems expressing their base meaning, e.g., bake, baked, bakes, bakin...
Alexander F. Gelbukh, Mikhail Alexandrov, Sang-Yon...
CLEF
2005
Springer
14 years 2 months ago
Applying Light Natural Language Processing to Ad-Hoc Cross Language Information Retrieval
In the CLEF 2005 Ad-Hoc Track we experimented with language-specific morphosyntactic processing and light Natural Language Processing (NLP) for the retrieval of Bulgarian, French,...
Christina Lioma, Craig Macdonald, Ben He, Vassilis...